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ICML
1994
IEEE
15 years 10 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
SUTC
2010
IEEE
15 years 4 months ago
Resource-Aware Scheduling of Distributed Ontological Reasoning Tasks in Wireless Sensor Networks
Abstract—As the number of wireless sensor network applications continues to grow, the need for specialized task scheduling mechanisms, aware of the sensor devices’ capabilities...
Tim De Pauw, Stijn Verstichel, Bruno Volckaert, Fi...
OOPSLA
2009
Springer
16 years 27 days ago
The design of a task parallel library
The Task Parallel Library (TPL) is a library for .NET that makes it easy to take advantage of potential parallelism in a program. The library relies heavily on generics and delega...
Daan Leijen, Wolfram Schulte, Sebastian Burckhardt
ISVLSI
2008
IEEE
118views VLSI» more  ISVLSI 2008»
16 years 23 days ago
MPI-Based Adaptive Task Migration Support on the HS-Scale System
Scalability of architecture, programming model and task control management will be a major challenge for future VLSI systems. In this context, homogeneous MPSOC is a seducing appr...
Nicolas Saint-Jean, Pascal Benoit, Gilles Sassatel...
IAT
2007
IEEE
16 years 21 days ago
An Application of Automated Negotiation to Distributed Task Allocation
Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits th...
Michael Krainin, Bo An, Victor R. Lesser